Recent content by dylanbyt

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    Python explained: a practical look at limitations

    When working with Python, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is limitations. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...
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    Key things to know about AI News and common mistakes

    On Key things to know about AI News and common mistakes, the part about news and common stands out to me. I would test one small workflow first, keep the variables consistent, and compare the result before changing several things at once. The original point — "For AI News, it helps to think in...
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    A practical overview of AI Red Teaming for prompt design

    For AI Red Teaming, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is prompt design. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the outcome...